We compared the processing of natural language quantifiers in a group of patients with
schizophrenia and a healthy control group. In both groups, the difficulty of the quantifiers was
consistent with computational predictions, and patients with schizophrenia took more time to solve the problems. However, they were significantly less accurate only with proportional quantifiers, like more than half. This can be explained by noting that, according to the complexity perspective, only proportional quantifiers require working memory engagement.